4.4 Article

A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 112, Issue 6, Pages 1566-1583

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00179.2013

Keywords

electrocorticography; mu ECoG; auditory cortex; topography; tonotopy

Funding

  1. National Institute on Deafness and Other Communications Disorders
  2. Boucai Hearing Restoration Fund
  3. National Science Foundation [DMI-0328162]
  4. US Department of Energy, Division of Materials Sciences through the Materials Research Laboratory and Center for Microanalysis of Materials at the University of Illinois at Urbana-Champaign [DE-FG02-07ER46471, DE-FG02-07ER46453]
  5. National Security Science and Engineering Faculty
  6. National Institute of Neurological Disorders and Stroke [RO1-NS-041811, R01-NS-48598]
  7. Citizens United for Research in Epilepsy (CURE)
  8. CURE
  9. NYU Wireless

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Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (mu ECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared mu ECoG measurements in auditory cortex using a custom active electrode array to those recorded using a conventional passive mu ECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active mu ECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive mu ECoG arrays. Furthermore, the cortical representation could be measured efficiently with the active arrays, requiring as little as 13.5 s of neural data acquisition. Next, we generated spectrotemporal receptive fields from the recorded neural activity on the active mu ECoG array and identified functional organizational principles comparable to those observed using intrinsic metabolic imaging and single-neuron recordings. This new electrode array technology has the potential for large-scale, temporally precise monitoring and mapping of the cortex, without the use of invasive penetrating electrodes.

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